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learning with a background in robust and embedded control, aerospace systems and physical modelling, as well as in artificial intelligence-related concepts, computer vision and numerical optimisation
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You will have a PhD in Computer Science or a related discipline or will have obtained it by commencement of the position. Successful candidates will have experience of model training methodologies
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results published in top-tier journals. Duties The department of Computer Science, Electrical and Space Engineering at Luleå University of Technology (LTU) is offering a Postdoctoral Fellow position to
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Mines de Paris, Université Marie et Louis Pasteur, Rheon Labs, ANSYS, and the National Physics Laboratories. The PDRA will also attend national and international conferences to develop experience and
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will have a PhD in a relevant scientific discipline and sufficient specialist knowledge relevant to the project to be able to make a start on day one – we do not expect everyone to have all the skills
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transfer of the reaction process. This research is closely aligned with the corresponding experimental studies. Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field
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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
for isomerization in MOFs: https://doi.org/10.1039/D3QI01065A What we are looking for: A PhD in Chemistry, Materials Science, Physics or a related field Experience in python (ASE, scikit-learn, pytorch) is essential
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. The successful candidate will be joining the Ultracold Quantum Gases group led by Prof. Dr.Leticia Tarruell . The Fermi-Hubbard model is a cornerstone model of condensed matter physics. It describes the physics
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visit our website at: https://rede.ecu.edu/postdoctoral/ Minimum Education/Experience: Excellent written and oral communication skills PhD in Physics, Biophysics, Biochemistry, or a related field Prior
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Driver's License: A driver's license is not required for this position. More About This Job Required Qualifications: A PhD in Genetics, Bioinformatics, Computer Science, Data Science, Statistical Genomics